About Me
My interests are in developing more knowledge to reduce violence against children and Adverse Childhood Experiences (ACEs), with the aim of improving child and family well-being. It is my hope that a better understanding of how to reduce violence against children, and how to reduce ACEs, will contribute to a better understanding of how to improve mental health and well-being across the lifespan. In this research I try to understand the family and community origins of aggression, antisocial behavior, anxiety and depression. My current research focuses on parenting and child development in international context. I try to understand these issues within the context of current conversations about children’s rights.
A particular focus of my work has been to examine the outcomes of physical punishment. Working closely with many colleagues, we have shown that physical punishment is associated with a wide variety of negative outcomes, even when used minimally, or when used in ostensibly “normative” ways.
I teach courses mostly in the area of statistics, quantitative methods and data visualization.
- A little bit about my background
- My CV
“Blog-ish” Posts
Selected Courses
Data Visualization
Multilevel and Longitudinal Modeling
- Course Page
- Multilevel Thinking, an in development introduction to multilevel modeling.
Categorical Data Analysis
Research on Parenting and Child Development
Many of these publications are available from Deep Blue.
Multiple Indicator Cluster Surveys (MICS) (UNICEF Data)
This research is conducted in collaboration with colleagues Shawna Lee, Julie Ma, Kaitlin Ward, Garrett Pace, and Jorge Cuartas.
Figure 1: Locations of Countries in MICS
- Gender Inequality in Low- and Middle-Income Countries: Associations with Parental Physical Abuse and Moderation by Child Gender
- “The Association between Spanking and Physical Abuse of Young Children in 56 Low- and Middle-Income Countries”
- “Patterns of Caregiver Aggressive & Nonaggressive Discipline Toward Young Children in Low- and Middle-Income Countries: A Latent Class Approach”
- “Multilevel ecological analysis of the predictors of spanking across 65 countries”
- “Global Perspectives on Positive and Negative Parenting: A Bayesian Multilevel Analysis”
- “Spanking and young children’s socioemotional development in low- and middle-income countries”
- Open Access
- Data Visualization
- Child Trends News Service has released a well done video summarizing this research.
Adverse Childhood Experiences (ACES)
“Adverse childhood experiences and spanking have similar associations with early behavior problems”
“Unpacking the impact of adverse childhood experiences on adult mental health”
COVID-19
Colombia
- “Physical Punishment as a Predictor of Early Cognitive Development: Evidence From Econometric Approaches”
- “Physical punishment and Colombian children and adolescents’ cognitive and behavioral outcomes”
- “Civil conflict, domestic violence, and poverty as predictors of corporal punishment in Colombia”
Meta-Analysis of Research on Corporal Punishment
- Meta-Analysis of Research on Corporal Punishment [PubMed Full Text]
Corporal Punishment Bans
- Data Visualizations of Country Level Bans on Corporal Punishment
Figure 2: Country Level Bans on Corporal Punishment
Earlier Research on Corporal Punishment
Community Based Research in Alaska
Culturally Grounded Strategies for Suicide and Alcohol Risk Prevention Delivered by Rural Alaska Native Communities: A Dynamic Wait‐listed Design Evaluation of the Qungasvik Intervention.
Selected Collaborations
- Work with Performance Measurement Initiative at William Davidson Institute
Stata Materials
All Stata Materials
Introductory Materials
Data Visualization
- “Michigan Graph Scheme” for Stata
- Data Visualization With Stata
- Stata Data Visualization Basics
- How To Choose A Chart - A Statistically Informed Visual Guide With Stata Commands
R Materials
R
- Introduction to R:
- Two Page R:
- Colors in R
- Colors in R
- Viridis Colors
- University of Michigan colors for R Graphs [web page] [R package]
- Working With Data From the World Bank Indicators
ggplot
- Introduction to ggplot2:
- Two Page ggplot2:
- What Geometry Do I Use?
- ggplot Flipbook
- “Advanced” ggplot
- Comparing Program Outcomes with ggplot2
dplyr
xaringan
Bayesian Statistics
- Thinking Through Bayesian Ideas
- Notes on Accepting the Null (\(H_0\)) Hypothesis
- Bayesian and Frequentist Multilevel Modeling
- Bayesian Longitudinal MLM With the Gutten Tree Data
Statistical Tutorials and Visualizations
- What Is Data?
- Everything is Obvious Once You Know The Answer
- Causality
- Basics of Quantitative Data Analysis
- t-Test
- Correlation
- Regression
- Interactions
- Logistic Regression
- Cohen’s d Calculator
Data Visualization
- How To Choose A Chart
- Should Everything Be A Bar Graph?
- Data Driven Report Demo
- Variables and Visualization
- Slides for a Lecture on Data Visualization for Political Social Work
Telling Stories With Data
- Visualizing Disparities in a Continuous Risk Factor or Outcome [PDF]
- Visualizing Disparities in a Categorical Risk Factor or Outcome
- Comparing Program Outcomes With ggplot [PDF]
- Graphing Change Over Time [PDF]
Contact
Andrew Grogan-Kaylor
- Web: https://agrogan1.github.io/
- Email: agrogan@umich.edu
- Deep Blue: https://deepblue.lib.umich.edu/browse?type=author&value=Grogan-Kaylor%2C+Andrew
- GitHub: https://github.com/agrogan1
- ResearchGate: https://www.researchgate.net/profile/Andrew_Grogan-Kaylor
- Google Scholar: https://scholar.google.com/citations?user=iLvsGzgAAAAJ&hl=en
- ORCID:
https://orcid.org/0000-0003-0065-9991